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Positive Probability Ltd

Interested in advanced data processing? You have arrived at the PPL website. See what the ReSpect™. Advanced data reconstruction algorithms can do for you. Place your cursor over this diagram of Flourescence DNA sequencing data to see Baseline corrected data. Improve S/N without Broadening Peaks. Place your cursor over this diagram of Proton NMR data to see what ReSpect™. Data reconstruction can do. Place your cursor over this diagram of Gradient LC data to see what ReSpect™. Charge deconvolution can do.

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Positive Probability Ltd | positiveprobability.com Reviews
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Interested in advanced data processing? You have arrived at the PPL website. See what the ReSpect™. Advanced data reconstruction algorithms can do for you. Place your cursor over this diagram of Flourescence DNA sequencing data to see Baseline corrected data. Improve S/N without Broadening Peaks. Place your cursor over this diagram of Proton NMR data to see what ReSpect™. Data reconstruction can do. Place your cursor over this diagram of Gradient LC data to see what ReSpect™. Charge deconvolution can do.
<META>
KEYWORDS
1 noise reduction
2 deconvolution
3 deisotope
4 electrospray
5 correct baselines
6 deconvolve peaks
7 deconvolution can do
8 deisotope ms data
9 deisotoping can do
10 zero charge deconvolution
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noise reduction,deconvolution,deisotope,electrospray,correct baselines,deconvolve peaks,deconvolution can do,deisotope ms data,deisotoping can do,zero charge deconvolution,the company,our philosophy,methodology,applications notes,publications,asms posters
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Positive Probability Ltd | positiveprobability.com Reviews

https://positiveprobability.com

Interested in advanced data processing? You have arrived at the PPL website. See what the ReSpect™. Advanced data reconstruction algorithms can do for you. Place your cursor over this diagram of Flourescence DNA sequencing data to see Baseline corrected data. Improve S/N without Broadening Peaks. Place your cursor over this diagram of Proton NMR data to see what ReSpect™. Data reconstruction can do. Place your cursor over this diagram of Gradient LC data to see what ReSpect™. Charge deconvolution can do.

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1

Posters

http://www.positiveprobability.com/POSTERS/POST1.HTM

PPL has presented posters at each of the recent ASMS annual conferences. A few of them are available to view here. Peak Shape Self-Modelling for Low Abundance Analytes in Complex Mixtures. Comparison of Methods for Detecting and Deisotoping Weak, High Charge Signals in Data. Improving Data Analysis by Accounting for Noise Variation. Fast and Quantitative Analysis of Data for Investigating the Heterogeneity of Intact Glycoproteins by ESI-MS. A Novel Forwards-working Approach to Peptide Sequencing.

2

methodology

http://www.positiveprobability.com/METHOD/METHOD.HTM

PPL has successfully applied the ReSpect. Data construction algorithm to both these types of problem, particularly in analytical chemistry, where common applications are the deconvolution of spectroscopic and chromatographic data. However, because the method works equally well for more than one dimension, it may be applied to many multi-dimensional techniques. 2 Data Information Content. 3 The Data Reconstruction Method. Traditional data processing techniques involving filters, inverse filters and Fourie...

3

About PPL

http://www.positiveprobability.com/THECO/ABOUTUS.HTM

Is an established company dedicated to work with selected instrument manufacturers to provide the spectrometrist, spectroscopist and separations scientist with a wide range of specific solutions to specific problems. However, PPL is also developing products for direct sale to end users that run in the Microsoft Windows environment. PPL has developed and continues to develop a range of specialised interfaces for its own unique ReSpect.

4

PPL Philosophy

http://www.positiveprobability.com/PHILOS/PHILSY.HTM

Corrupted Data, Filters and Inverse Filters. In contrast, PPL's methods do not operate on the data in an attempt to reverse the effects of noise and instrument imperfections. Instead, our approach is to mathematically reconstruct the data, using a Model that represents the way in which the data are damaged or corrupted. Our methods are iterative and always work forwards. Progressively reconstructing the underlying detail contained in the data - the Deconvolution.

5

Programs

http://www.positiveprobability.com/PRDESCR/DESCRIBE.HTM

Kernel is therefore designed to navigate to the correct point on the contour of interest by a self-analysis of its diagnostics as the computation progresses. The program converges naturally without intervention by the user. Quantified peak position and intensity errors are obtained by directly analysing for the uncertainty in the data surrounding each feature in the Deconvolution. At convergence, the fully quantified Deconvolution, Reconstruction and Misfit are available. 153; Map Comparison Program.

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Interested in advanced data processing? You have arrived at the PPL website. See what the ReSpect™. Advanced data reconstruction algorithms can do for you. Place your cursor over this diagram of Flourescence DNA sequencing data to see Baseline corrected data. Improve S/N without Broadening Peaks. Place your cursor over this diagram of Proton NMR data to see what ReSpect™. Data reconstruction can do. Place your cursor over this diagram of Gradient LC data to see what ReSpect™. Charge deconvolution can do.

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Interested in advanced data processing? You have arrived at the PPL website. See what the ReSpect™. Advanced data reconstruction algorithms can do for you. Place your cursor over this diagram of Flourescence DNA sequencing data to see Baseline corrected data. Improve S/N without Broadening Peaks. Place your cursor over this diagram of Proton NMR data to see what ReSpect™. Data reconstruction can do. Place your cursor over this diagram of Gradient LC data to see what ReSpect™. Charge deconvolution can do.

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